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grep -l @yolo /news/*.json | wc -l → 12

YOLO

mentions 12 type Organization feed RSS

// recent coverage 12 mentions

15:08
2026-07-07
blog.roboflow.com
computer-vision

Detect Anything Model

Meta's SAM3 (Segment Anything Model 3) enables open-vocabulary object detection from text prompts without labeled data or training. Roboflow Workflows integrates SAM3 to build a warehouse asset search…

08:37
2026-06-25
hackster.io
computer-vision

How to Deploy YOLO Projects with reComputer AI Lab

Seeed's reComputer AI Lab, an edge AI development platform, now supports one-click deployment of YOLO models on RK3588/RK3576 hardware. The platform pre-packages 18 YOLO variants across YOLOv5, YOLOv8…

19:50
2026-06-19
dev.to
artificial-intelligence

AI, data science, and ML overlap in surprising ways

AI, data science, and machine learning are converging, transforming industries from healthcare to finance. Data scientists spend up to 80% of project time cleaning data, but tools like Trifacta and Da…

17:01
2026-06-11
dev.to
artificial-intelligence

Native Bounding Boxes Changes Everything for Visions Devs

Google's Gemini model now natively outputs bounding box coordinates as part of its vocabulary, eliminating the need for separate computer vision pipelines. The system normalizes all images to a 1000x1…

11:48
2026-06-01
blog.roboflow.com
computer-vision

How to Deploy Computer Vision Models Offline

Roboflow has released an open-source inference library that enables developers to deploy computer vision models entirely offline on edge devices, laptops, or air-gapped systems without relying on clou…

17:39
2026-05-27
blog.roboflow.com
computer-vision

What Is YOLO-Anomaly?

YOLO-Anomaly, a new model purpose-built for anomaly detection in manufacturing quality assurance, is scheduled for release in July 2026. The model aims to catch defects and out-of-spec parts on produc…

18:18
2026-05-18
blog.roboflow.com
computer-vision

Build a Real-Time Traffic Light Detection System

Roboflow released a tutorial for building a real-time traffic light detection system using its platform and the RF-DETR model. The system, which achieved 84.3% mean average precision on a public datas…

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